Building trustworthy clinical information systems
Why interoperability, privacy, verification and clinical context matter in medical computation.
Clinical applications work with complex data: observations, orders, imaging studies, medication lists and documentation. The challenge is not simply storing these records, but preserving their meaning and provenance across workflows and systems.
Standards such as HL7 v2, FHIR and DICOM support well-defined forms of exchange, but implementations still need careful interface specifications, mapping, validation, error handling and governance.
Privacy by design, auditability, reliability and clinician review are essential to systems operating in healthcare environments. A research concept, prototype and regulated clinical device are different stages and should never be confused.
This article discusses public-domain engineering principles rather than announcing a deployed service.